fengyao1909 commited on
Commit
1c91651
·
verified ·
1 Parent(s): 5b3341b

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
added_tokens.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</think>": 151668,
3
+ "</tool_call>": 151658,
4
+ "</tool_response>": 151666,
5
+ "<think>": 151667,
6
+ "<tool_call>": 151657,
7
+ "<tool_response>": 151665,
8
+ "<|box_end|>": 151649,
9
+ "<|box_start|>": 151648,
10
+ "<|endoftext|>": 151643,
11
+ "<|file_sep|>": 151664,
12
+ "<|fim_middle|>": 151660,
13
+ "<|fim_pad|>": 151662,
14
+ "<|fim_prefix|>": 151659,
15
+ "<|fim_suffix|>": 151661,
16
+ "<|im_end|>": 151645,
17
+ "<|im_start|>": 151644,
18
+ "<|image_pad|>": 151655,
19
+ "<|object_ref_end|>": 151647,
20
+ "<|object_ref_start|>": 151646,
21
+ "<|quad_end|>": 151651,
22
+ "<|quad_start|>": 151650,
23
+ "<|repo_name|>": 151663,
24
+ "<|video_pad|>": 151656,
25
+ "<|vision_end|>": 151653,
26
+ "<|vision_pad|>": 151654,
27
+ "<|vision_start|>": 151652
28
+ }
chat_template.jinja ADDED
@@ -0,0 +1,85 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0].role == 'system' %}
4
+ {{- messages[0].content + '\n\n' }}
5
+ {%- endif %}
6
+ {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
7
+ {%- for tool in tools %}
8
+ {{- "\n" }}
9
+ {{- tool | tojson }}
10
+ {%- endfor %}
11
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
12
+ {%- else %}
13
+ {%- if messages[0].role == 'system' %}
14
+ {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
15
+ {%- endif %}
16
+ {%- endif %}
17
+ {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
18
+ {%- for message in messages[::-1] %}
19
+ {%- set index = (messages|length - 1) - loop.index0 %}
20
+ {%- if ns.multi_step_tool and message.role == "user" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
21
+ {%- set ns.multi_step_tool = false %}
22
+ {%- set ns.last_query_index = index %}
23
+ {%- endif %}
24
+ {%- endfor %}
25
+ {%- for message in messages %}
26
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
27
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
28
+ {%- elif message.role == "assistant" %}
29
+ {%- set content = message.content %}
30
+ {%- set reasoning_content = '' %}
31
+ {%- if message.reasoning_content is defined and message.reasoning_content is not none %}
32
+ {%- set reasoning_content = message.reasoning_content %}
33
+ {%- else %}
34
+ {%- if '</think>' in message.content %}
35
+ {%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
36
+ {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
37
+ {%- endif %}
38
+ {%- endif %}
39
+ {%- if loop.index0 > ns.last_query_index %}
40
+ {%- if loop.last or (not loop.last and reasoning_content) %}
41
+ {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
42
+ {%- else %}
43
+ {{- '<|im_start|>' + message.role + '\n' + content }}
44
+ {%- endif %}
45
+ {%- else %}
46
+ {{- '<|im_start|>' + message.role + '\n' + content }}
47
+ {%- endif %}
48
+ {%- if message.tool_calls %}
49
+ {%- for tool_call in message.tool_calls %}
50
+ {%- if (loop.first and content) or (not loop.first) %}
51
+ {{- '\n' }}
52
+ {%- endif %}
53
+ {%- if tool_call.function %}
54
+ {%- set tool_call = tool_call.function %}
55
+ {%- endif %}
56
+ {{- '<tool_call>\n{"name": "' }}
57
+ {{- tool_call.name }}
58
+ {{- '", "arguments": ' }}
59
+ {%- if tool_call.arguments is string %}
60
+ {{- tool_call.arguments }}
61
+ {%- else %}
62
+ {{- tool_call.arguments | tojson }}
63
+ {%- endif %}
64
+ {{- '}\n</tool_call>' }}
65
+ {%- endfor %}
66
+ {%- endif %}
67
+ {{- '<|im_end|>\n' }}
68
+ {%- elif message.role == "tool" %}
69
+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
70
+ {{- '<|im_start|>user' }}
71
+ {%- endif %}
72
+ {{- '\n<tool_response>\n' }}
73
+ {{- message.content }}
74
+ {{- '\n</tool_response>' }}
75
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
76
+ {{- '<|im_end|>\n' }}
77
+ {%- endif %}
78
+ {%- endif %}
79
+ {%- endfor %}
80
+ {%- if add_generation_prompt %}
81
+ {{- '<|im_start|>assistant\n' }}
82
+ {%- if enable_thinking is defined and enable_thinking is false %}
83
+ {{- '<think>\n\n</think>\n\n' }}
84
+ {%- endif %}
85
+ {%- endif %}
config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen3MoeForCausalLM"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 151643,
8
+ "decoder_sparse_step": 1,
9
+ "eos_token_id": 151643,
10
+ "head_dim": 128,
11
+ "hidden_act": "silu",
12
+ "hidden_size": 2048,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 6144,
15
+ "max_position_embeddings": 32768,
16
+ "max_window_layers": 48,
17
+ "mlp_only_layers": [],
18
+ "model_type": "qwen3_moe",
19
+ "moe_intermediate_size": 768,
20
+ "norm_topk_prob": true,
21
+ "num_attention_heads": 32,
22
+ "num_experts": 128,
23
+ "num_experts_per_tok": 8,
24
+ "num_hidden_layers": 48,
25
+ "num_key_value_heads": 4,
26
+ "output_router_logits": false,
27
+ "rms_norm_eps": 1e-06,
28
+ "rope_scaling": null,
29
+ "rope_theta": 1000000.0,
30
+ "router_aux_loss_coef": 0.001,
31
+ "sliding_window": null,
32
+ "tie_word_embeddings": false,
33
+ "torch_dtype": "bfloat16",
34
+ "transformers_version": "4.52.0.dev0",
35
+ "use_cache": false,
36
+ "use_sliding_window": false,
37
+ "vocab_size": 151936
38
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "eos_token_id": 151643,
4
+ "max_new_tokens": 2048,
5
+ "transformers_version": "4.52.0.dev0"
6
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00013.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ce3edc61ee5d8e00cdd255bc34b599d13a210ed9536b9f0275f7532096e80106
3
+ size 4997184968
model-00002-of-00013.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ebddfad9c742142c3cdf9899c3efa3fe01714c54d5c3f0f69389a5f7838b87ed
3
+ size 4997741608
model-00003-of-00013.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ae44b75850ba155dfe6d35b7984f15c7145dfc2a9d487e11170edbeea7bff25d
3
+ size 4997742208
model-00004-of-00013.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2644e7354a5f2df1de3c5f9f5ab968960aa3957224bd3620b5decd52767b30b0
3
+ size 4997743184
model-00005-of-00013.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:102441c807e5ddbd985919aac96d583f5de7f089362f758ac8c7eef22947af3b
3
+ size 4997743184
model-00006-of-00013.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:21f559bca144cc025bc979376de1692052f4850cebbf8a304498cb6f7d50a2f1
3
+ size 4997743184
model-00007-of-00013.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b15695d2f337e2c883113d6d5a5bb31d176fd06bfa90ef6d8c32fe5b65b78054
3
+ size 4997743184
model-00008-of-00013.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ed1353147fa0bb6f1c6e1e54921323718ab5db97806e0b2c16b44e06bbce4b9e
3
+ size 4997743184
model-00009-of-00013.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c28f45771be003b06f6fce5012770b6eef232e815c1ef0a6e33933ba0518bba
3
+ size 4997743184
model-00010-of-00013.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dac1cafab7067f85ef31147ce87a4e672e86ae61bfae57b9e4e06f0dc70e3d3c
3
+ size 4997743184
model-00011-of-00013.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d2673dadf317c269f2b8cc75abc9d62c7ff72bffc432fa5338460c235ae9fbe4
3
+ size 4997743184
model-00012-of-00013.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a772a6022446d63c73ffc524d2d8dc474be376927ab7caebc482e2ce74e22991
3
+ size 4997743184
model-00013-of-00013.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9643fadefce95a97d96df0be99504f07b8d1427d51c2878fd195e451ad758d34
3
+ size 1094220288
model.safetensors.index.json ADDED
The diff for this file is too large to render. See raw diff
 
special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
3
+ size 11422654
tokenizer_config.json ADDED
@@ -0,0 +1,240 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<tool_response>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "151666": {
190
+ "content": "</tool_response>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "151667": {
198
+ "content": "<think>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "151668": {
206
+ "content": "</think>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ }
213
+ },
214
+ "additional_special_tokens": [
215
+ "<|im_start|>",
216
+ "<|im_end|>",
217
+ "<|object_ref_start|>",
218
+ "<|object_ref_end|>",
219
+ "<|box_start|>",
220
+ "<|box_end|>",
221
+ "<|quad_start|>",
222
+ "<|quad_end|>",
223
+ "<|vision_start|>",
224
+ "<|vision_end|>",
225
+ "<|vision_pad|>",
226
+ "<|image_pad|>",
227
+ "<|video_pad|>"
228
+ ],
229
+ "bos_token": null,
230
+ "clean_up_tokenization_spaces": false,
231
+ "eos_token": "<|im_end|>",
232
+ "errors": "replace",
233
+ "extra_special_tokens": {},
234
+ "model_max_length": 131072,
235
+ "pad_token": "<|endoftext|>",
236
+ "padding_side": "right",
237
+ "split_special_tokens": false,
238
+ "tokenizer_class": "Qwen2Tokenizer",
239
+ "unk_token": null
240
+ }
trainer_state.json ADDED
@@ -0,0 +1,2134 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.5420054200542005,
6
+ "eval_steps": 500,
7
+ "global_step": 300,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0018066847335140017,
14
+ "grad_norm": 2.8330458831358536,
15
+ "learning_rate": 0.0,
16
+ "loss": 0.8251,
17
+ "step": 1
18
+ },
19
+ {
20
+ "epoch": 0.0036133694670280035,
21
+ "grad_norm": 2.881506507345633,
22
+ "learning_rate": 1.0714285714285714e-06,
23
+ "loss": 0.8284,
24
+ "step": 2
25
+ },
26
+ {
27
+ "epoch": 0.005420054200542005,
28
+ "grad_norm": 2.864957143736817,
29
+ "learning_rate": 2.1428571428571427e-06,
30
+ "loss": 0.8427,
31
+ "step": 3
32
+ },
33
+ {
34
+ "epoch": 0.007226738934056007,
35
+ "grad_norm": 2.789658157036283,
36
+ "learning_rate": 3.2142857142857143e-06,
37
+ "loss": 0.8378,
38
+ "step": 4
39
+ },
40
+ {
41
+ "epoch": 0.009033423667570008,
42
+ "grad_norm": 2.5748296264473147,
43
+ "learning_rate": 4.2857142857142855e-06,
44
+ "loss": 0.8226,
45
+ "step": 5
46
+ },
47
+ {
48
+ "epoch": 0.01084010840108401,
49
+ "grad_norm": 2.1226324001162262,
50
+ "learning_rate": 5.357142857142857e-06,
51
+ "loss": 0.8096,
52
+ "step": 6
53
+ },
54
+ {
55
+ "epoch": 0.012646793134598013,
56
+ "grad_norm": 1.4591614339485137,
57
+ "learning_rate": 6.428571428571429e-06,
58
+ "loss": 0.7738,
59
+ "step": 7
60
+ },
61
+ {
62
+ "epoch": 0.014453477868112014,
63
+ "grad_norm": 1.3910404074529026,
64
+ "learning_rate": 7.5e-06,
65
+ "loss": 0.7731,
66
+ "step": 8
67
+ },
68
+ {
69
+ "epoch": 0.016260162601626018,
70
+ "grad_norm": 1.2975941991178286,
71
+ "learning_rate": 8.571428571428571e-06,
72
+ "loss": 0.7653,
73
+ "step": 9
74
+ },
75
+ {
76
+ "epoch": 0.018066847335140017,
77
+ "grad_norm": 2.39949931335525,
78
+ "learning_rate": 9.642857142857144e-06,
79
+ "loss": 0.7503,
80
+ "step": 10
81
+ },
82
+ {
83
+ "epoch": 0.01987353206865402,
84
+ "grad_norm": 2.339166039208163,
85
+ "learning_rate": 1.0714285714285714e-05,
86
+ "loss": 0.7353,
87
+ "step": 11
88
+ },
89
+ {
90
+ "epoch": 0.02168021680216802,
91
+ "grad_norm": 2.2235135720121253,
92
+ "learning_rate": 1.1785714285714286e-05,
93
+ "loss": 0.7488,
94
+ "step": 12
95
+ },
96
+ {
97
+ "epoch": 0.023486901535682024,
98
+ "grad_norm": 1.8641369164869521,
99
+ "learning_rate": 1.2857142857142857e-05,
100
+ "loss": 0.7252,
101
+ "step": 13
102
+ },
103
+ {
104
+ "epoch": 0.025293586269196026,
105
+ "grad_norm": 1.7375311366152815,
106
+ "learning_rate": 1.3928571428571429e-05,
107
+ "loss": 0.7282,
108
+ "step": 14
109
+ },
110
+ {
111
+ "epoch": 0.02710027100271003,
112
+ "grad_norm": 1.4297603171733615,
113
+ "learning_rate": 1.5e-05,
114
+ "loss": 0.7175,
115
+ "step": 15
116
+ },
117
+ {
118
+ "epoch": 0.028906955736224028,
119
+ "grad_norm": 1.1151402205703254,
120
+ "learning_rate": 1.6071428571428572e-05,
121
+ "loss": 0.7016,
122
+ "step": 16
123
+ },
124
+ {
125
+ "epoch": 0.03071364046973803,
126
+ "grad_norm": 0.8024202349277224,
127
+ "learning_rate": 1.7142857142857142e-05,
128
+ "loss": 0.6998,
129
+ "step": 17
130
+ },
131
+ {
132
+ "epoch": 0.032520325203252036,
133
+ "grad_norm": 0.7606508999595812,
134
+ "learning_rate": 1.8214285714285712e-05,
135
+ "loss": 0.6884,
136
+ "step": 18
137
+ },
138
+ {
139
+ "epoch": 0.03432700993676603,
140
+ "grad_norm": 0.7625534222641119,
141
+ "learning_rate": 1.928571428571429e-05,
142
+ "loss": 0.6829,
143
+ "step": 19
144
+ },
145
+ {
146
+ "epoch": 0.036133694670280034,
147
+ "grad_norm": 0.6694670087645954,
148
+ "learning_rate": 2.0357142857142858e-05,
149
+ "loss": 0.6597,
150
+ "step": 20
151
+ },
152
+ {
153
+ "epoch": 0.037940379403794036,
154
+ "grad_norm": 0.5962751724140051,
155
+ "learning_rate": 2.1428571428571428e-05,
156
+ "loss": 0.6656,
157
+ "step": 21
158
+ },
159
+ {
160
+ "epoch": 0.03974706413730804,
161
+ "grad_norm": 0.574939617107255,
162
+ "learning_rate": 2.25e-05,
163
+ "loss": 0.6544,
164
+ "step": 22
165
+ },
166
+ {
167
+ "epoch": 0.04155374887082204,
168
+ "grad_norm": 0.5740495615931904,
169
+ "learning_rate": 2.357142857142857e-05,
170
+ "loss": 0.655,
171
+ "step": 23
172
+ },
173
+ {
174
+ "epoch": 0.04336043360433604,
175
+ "grad_norm": 0.5401386924725768,
176
+ "learning_rate": 2.464285714285714e-05,
177
+ "loss": 0.6603,
178
+ "step": 24
179
+ },
180
+ {
181
+ "epoch": 0.045167118337850046,
182
+ "grad_norm": 0.5411734137719719,
183
+ "learning_rate": 2.5714285714285714e-05,
184
+ "loss": 0.6417,
185
+ "step": 25
186
+ },
187
+ {
188
+ "epoch": 0.04697380307136405,
189
+ "grad_norm": 0.4707448281296468,
190
+ "learning_rate": 2.6785714285714288e-05,
191
+ "loss": 0.6565,
192
+ "step": 26
193
+ },
194
+ {
195
+ "epoch": 0.04878048780487805,
196
+ "grad_norm": 0.4601634980551412,
197
+ "learning_rate": 2.7857142857142858e-05,
198
+ "loss": 0.6344,
199
+ "step": 27
200
+ },
201
+ {
202
+ "epoch": 0.05058717253839205,
203
+ "grad_norm": 0.4576924664211419,
204
+ "learning_rate": 2.892857142857143e-05,
205
+ "loss": 0.637,
206
+ "step": 28
207
+ },
208
+ {
209
+ "epoch": 0.052393857271906055,
210
+ "grad_norm": 0.44420515620753975,
211
+ "learning_rate": 3e-05,
212
+ "loss": 0.6484,
213
+ "step": 29
214
+ },
215
+ {
216
+ "epoch": 0.05420054200542006,
217
+ "grad_norm": 0.41258566428029175,
218
+ "learning_rate": 2.9999731440137413e-05,
219
+ "loss": 0.6488,
220
+ "step": 30
221
+ },
222
+ {
223
+ "epoch": 0.05600722673893405,
224
+ "grad_norm": 0.3492774187256118,
225
+ "learning_rate": 2.9998925770166232e-05,
226
+ "loss": 0.6377,
227
+ "step": 31
228
+ },
229
+ {
230
+ "epoch": 0.057813911472448055,
231
+ "grad_norm": 0.38161813042837406,
232
+ "learning_rate": 2.9997583018935875e-05,
233
+ "loss": 0.6262,
234
+ "step": 32
235
+ },
236
+ {
237
+ "epoch": 0.05962059620596206,
238
+ "grad_norm": 0.3667873345432628,
239
+ "learning_rate": 2.9995703234527553e-05,
240
+ "loss": 0.6358,
241
+ "step": 33
242
+ },
243
+ {
244
+ "epoch": 0.06142728093947606,
245
+ "grad_norm": 0.3431907596759456,
246
+ "learning_rate": 2.999328648425255e-05,
247
+ "loss": 0.6233,
248
+ "step": 34
249
+ },
250
+ {
251
+ "epoch": 0.06323396567299007,
252
+ "grad_norm": 0.36189091112235033,
253
+ "learning_rate": 2.999033285464982e-05,
254
+ "loss": 0.6288,
255
+ "step": 35
256
+ },
257
+ {
258
+ "epoch": 0.06504065040650407,
259
+ "grad_norm": 0.3804643814225747,
260
+ "learning_rate": 2.9986842451482876e-05,
261
+ "loss": 0.6248,
262
+ "step": 36
263
+ },
264
+ {
265
+ "epoch": 0.06684733514001806,
266
+ "grad_norm": 0.35830891965133377,
267
+ "learning_rate": 2.9982815399736008e-05,
268
+ "loss": 0.6297,
269
+ "step": 37
270
+ },
271
+ {
272
+ "epoch": 0.06865401987353206,
273
+ "grad_norm": 0.349837532228719,
274
+ "learning_rate": 2.9978251843609816e-05,
275
+ "loss": 0.6219,
276
+ "step": 38
277
+ },
278
+ {
279
+ "epoch": 0.07046070460704607,
280
+ "grad_norm": 0.40406566853435366,
281
+ "learning_rate": 2.9973151946516027e-05,
282
+ "loss": 0.6243,
283
+ "step": 39
284
+ },
285
+ {
286
+ "epoch": 0.07226738934056007,
287
+ "grad_norm": 0.30908023037541016,
288
+ "learning_rate": 2.996751589107167e-05,
289
+ "loss": 0.6123,
290
+ "step": 40
291
+ },
292
+ {
293
+ "epoch": 0.07407407407407407,
294
+ "grad_norm": 0.3499175700089795,
295
+ "learning_rate": 2.9961343879092512e-05,
296
+ "loss": 0.6186,
297
+ "step": 41
298
+ },
299
+ {
300
+ "epoch": 0.07588075880758807,
301
+ "grad_norm": 0.29453754657609377,
302
+ "learning_rate": 2.9954636131585845e-05,
303
+ "loss": 0.6117,
304
+ "step": 42
305
+ },
306
+ {
307
+ "epoch": 0.07768744354110207,
308
+ "grad_norm": 0.31600841861885537,
309
+ "learning_rate": 2.9947392888742566e-05,
310
+ "loss": 0.6117,
311
+ "step": 43
312
+ },
313
+ {
314
+ "epoch": 0.07949412827461608,
315
+ "grad_norm": 0.3022084890043788,
316
+ "learning_rate": 2.993961440992859e-05,
317
+ "loss": 0.6056,
318
+ "step": 44
319
+ },
320
+ {
321
+ "epoch": 0.08130081300813008,
322
+ "grad_norm": 0.3192692448247662,
323
+ "learning_rate": 2.993130097367553e-05,
324
+ "loss": 0.613,
325
+ "step": 45
326
+ },
327
+ {
328
+ "epoch": 0.08310749774164408,
329
+ "grad_norm": 0.2995609365814746,
330
+ "learning_rate": 2.9922452877670775e-05,
331
+ "loss": 0.6145,
332
+ "step": 46
333
+ },
334
+ {
335
+ "epoch": 0.08491418247515808,
336
+ "grad_norm": 0.28359568489888487,
337
+ "learning_rate": 2.991307043874677e-05,
338
+ "loss": 0.6171,
339
+ "step": 47
340
+ },
341
+ {
342
+ "epoch": 0.08672086720867209,
343
+ "grad_norm": 0.2763705613050705,
344
+ "learning_rate": 2.9903153992869734e-05,
345
+ "loss": 0.6031,
346
+ "step": 48
347
+ },
348
+ {
349
+ "epoch": 0.08852755194218609,
350
+ "grad_norm": 0.3024771650885143,
351
+ "learning_rate": 2.989270389512756e-05,
352
+ "loss": 0.6108,
353
+ "step": 49
354
+ },
355
+ {
356
+ "epoch": 0.09033423667570009,
357
+ "grad_norm": 0.2961191333250206,
358
+ "learning_rate": 2.988172051971717e-05,
359
+ "loss": 0.61,
360
+ "step": 50
361
+ },
362
+ {
363
+ "epoch": 0.0921409214092141,
364
+ "grad_norm": 0.2832954078297925,
365
+ "learning_rate": 2.9870204259931062e-05,
366
+ "loss": 0.5999,
367
+ "step": 51
368
+ },
369
+ {
370
+ "epoch": 0.0939476061427281,
371
+ "grad_norm": 0.28528145590927906,
372
+ "learning_rate": 2.9858155528143256e-05,
373
+ "loss": 0.617,
374
+ "step": 52
375
+ },
376
+ {
377
+ "epoch": 0.0957542908762421,
378
+ "grad_norm": 0.31958273903448986,
379
+ "learning_rate": 2.9845574755794522e-05,
380
+ "loss": 0.6027,
381
+ "step": 53
382
+ },
383
+ {
384
+ "epoch": 0.0975609756097561,
385
+ "grad_norm": 0.2721806575699711,
386
+ "learning_rate": 2.9832462393376926e-05,
387
+ "loss": 0.5922,
388
+ "step": 54
389
+ },
390
+ {
391
+ "epoch": 0.0993676603432701,
392
+ "grad_norm": 0.345845783610871,
393
+ "learning_rate": 2.9818818910417706e-05,
394
+ "loss": 0.6081,
395
+ "step": 55
396
+ },
397
+ {
398
+ "epoch": 0.1011743450767841,
399
+ "grad_norm": 0.29580862920928147,
400
+ "learning_rate": 2.9804644795462437e-05,
401
+ "loss": 0.6121,
402
+ "step": 56
403
+ },
404
+ {
405
+ "epoch": 0.10298102981029811,
406
+ "grad_norm": 0.3175507142787931,
407
+ "learning_rate": 2.9789940556057574e-05,
408
+ "loss": 0.5976,
409
+ "step": 57
410
+ },
411
+ {
412
+ "epoch": 0.10478771454381211,
413
+ "grad_norm": 0.3374272189572956,
414
+ "learning_rate": 2.9774706718732255e-05,
415
+ "loss": 0.6061,
416
+ "step": 58
417
+ },
418
+ {
419
+ "epoch": 0.10659439927732611,
420
+ "grad_norm": 0.27546053233166856,
421
+ "learning_rate": 2.9758943828979444e-05,
422
+ "loss": 0.5922,
423
+ "step": 59
424
+ },
425
+ {
426
+ "epoch": 0.10840108401084012,
427
+ "grad_norm": 0.3657689574287652,
428
+ "learning_rate": 2.9742652451236414e-05,
429
+ "loss": 0.5934,
430
+ "step": 60
431
+ },
432
+ {
433
+ "epoch": 0.1102077687443541,
434
+ "grad_norm": 0.2986956716963071,
435
+ "learning_rate": 2.972583316886451e-05,
436
+ "loss": 0.5971,
437
+ "step": 61
438
+ },
439
+ {
440
+ "epoch": 0.1120144534778681,
441
+ "grad_norm": 0.3448276185716925,
442
+ "learning_rate": 2.9708486584128303e-05,
443
+ "loss": 0.6017,
444
+ "step": 62
445
+ },
446
+ {
447
+ "epoch": 0.11382113821138211,
448
+ "grad_norm": 0.3163562156051723,
449
+ "learning_rate": 2.9690613318173966e-05,
450
+ "loss": 0.6018,
451
+ "step": 63
452
+ },
453
+ {
454
+ "epoch": 0.11562782294489611,
455
+ "grad_norm": 0.2891799826775374,
456
+ "learning_rate": 2.9672214011007087e-05,
457
+ "loss": 0.6001,
458
+ "step": 64
459
+ },
460
+ {
461
+ "epoch": 0.11743450767841011,
462
+ "grad_norm": 0.3052917388689653,
463
+ "learning_rate": 2.9653289321469715e-05,
464
+ "loss": 0.5941,
465
+ "step": 65
466
+ },
467
+ {
468
+ "epoch": 0.11924119241192412,
469
+ "grad_norm": 0.27037779234686826,
470
+ "learning_rate": 2.9633839927216793e-05,
471
+ "loss": 0.5971,
472
+ "step": 66
473
+ },
474
+ {
475
+ "epoch": 0.12104787714543812,
476
+ "grad_norm": 0.2837154841373324,
477
+ "learning_rate": 2.9613866524691867e-05,
478
+ "loss": 0.5873,
479
+ "step": 67
480
+ },
481
+ {
482
+ "epoch": 0.12285456187895212,
483
+ "grad_norm": 0.29318973292150885,
484
+ "learning_rate": 2.9593369829102173e-05,
485
+ "loss": 0.6033,
486
+ "step": 68
487
+ },
488
+ {
489
+ "epoch": 0.12466124661246612,
490
+ "grad_norm": 0.27320922800225206,
491
+ "learning_rate": 2.957235057439301e-05,
492
+ "loss": 0.6043,
493
+ "step": 69
494
+ },
495
+ {
496
+ "epoch": 0.12646793134598014,
497
+ "grad_norm": 0.2888792462126571,
498
+ "learning_rate": 2.955080951322147e-05,
499
+ "loss": 0.609,
500
+ "step": 70
501
+ },
502
+ {
503
+ "epoch": 0.12827461607949414,
504
+ "grad_norm": 0.3010426601423717,
505
+ "learning_rate": 2.9528747416929467e-05,
506
+ "loss": 0.5817,
507
+ "step": 71
508
+ },
509
+ {
510
+ "epoch": 0.13008130081300814,
511
+ "grad_norm": 0.29363653670708806,
512
+ "learning_rate": 2.9506165075516148e-05,
513
+ "loss": 0.599,
514
+ "step": 72
515
+ },
516
+ {
517
+ "epoch": 0.13188798554652212,
518
+ "grad_norm": 0.3695495205161594,
519
+ "learning_rate": 2.9483063297609577e-05,
520
+ "loss": 0.5979,
521
+ "step": 73
522
+ },
523
+ {
524
+ "epoch": 0.13369467028003612,
525
+ "grad_norm": 0.312283280850037,
526
+ "learning_rate": 2.9459442910437798e-05,
527
+ "loss": 0.5894,
528
+ "step": 74
529
+ },
530
+ {
531
+ "epoch": 0.13550135501355012,
532
+ "grad_norm": 0.34410257132188554,
533
+ "learning_rate": 2.94353047597992e-05,
534
+ "loss": 0.5887,
535
+ "step": 75
536
+ },
537
+ {
538
+ "epoch": 0.13730803974706413,
539
+ "grad_norm": 0.2913822090159289,
540
+ "learning_rate": 2.941064971003224e-05,
541
+ "loss": 0.5844,
542
+ "step": 76
543
+ },
544
+ {
545
+ "epoch": 0.13911472448057813,
546
+ "grad_norm": 0.34659905630109983,
547
+ "learning_rate": 2.9385478643984484e-05,
548
+ "loss": 0.5796,
549
+ "step": 77
550
+ },
551
+ {
552
+ "epoch": 0.14092140921409213,
553
+ "grad_norm": 0.3690502006189352,
554
+ "learning_rate": 2.9359792462981007e-05,
555
+ "loss": 0.591,
556
+ "step": 78
557
+ },
558
+ {
559
+ "epoch": 0.14272809394760613,
560
+ "grad_norm": 0.3032664893630925,
561
+ "learning_rate": 2.9333592086792113e-05,
562
+ "loss": 0.5986,
563
+ "step": 79
564
+ },
565
+ {
566
+ "epoch": 0.14453477868112014,
567
+ "grad_norm": 0.34886668595229536,
568
+ "learning_rate": 2.9306878453600382e-05,
569
+ "loss": 0.6077,
570
+ "step": 80
571
+ },
572
+ {
573
+ "epoch": 0.14634146341463414,
574
+ "grad_norm": 0.3308668167904688,
575
+ "learning_rate": 2.9279652519967105e-05,
576
+ "loss": 0.5927,
577
+ "step": 81
578
+ },
579
+ {
580
+ "epoch": 0.14814814814814814,
581
+ "grad_norm": 0.34561229364377843,
582
+ "learning_rate": 2.9251915260798024e-05,
583
+ "loss": 0.585,
584
+ "step": 82
585
+ },
586
+ {
587
+ "epoch": 0.14995483288166214,
588
+ "grad_norm": 0.3315517031152509,
589
+ "learning_rate": 2.9223667669308395e-05,
590
+ "loss": 0.5951,
591
+ "step": 83
592
+ },
593
+ {
594
+ "epoch": 0.15176151761517614,
595
+ "grad_norm": 0.26853290095208654,
596
+ "learning_rate": 2.9194910756987464e-05,
597
+ "loss": 0.5885,
598
+ "step": 84
599
+ },
600
+ {
601
+ "epoch": 0.15356820234869015,
602
+ "grad_norm": 0.29448765107140906,
603
+ "learning_rate": 2.9165645553562215e-05,
604
+ "loss": 0.5914,
605
+ "step": 85
606
+ },
607
+ {
608
+ "epoch": 0.15537488708220415,
609
+ "grad_norm": 0.2806586567612587,
610
+ "learning_rate": 2.9135873106960525e-05,
611
+ "loss": 0.5905,
612
+ "step": 86
613
+ },
614
+ {
615
+ "epoch": 0.15718157181571815,
616
+ "grad_norm": 0.3083804198003563,
617
+ "learning_rate": 2.9105594483273603e-05,
618
+ "loss": 0.5933,
619
+ "step": 87
620
+ },
621
+ {
622
+ "epoch": 0.15898825654923215,
623
+ "grad_norm": 0.29100169406971965,
624
+ "learning_rate": 2.9074810766717865e-05,
625
+ "loss": 0.5971,
626
+ "step": 88
627
+ },
628
+ {
629
+ "epoch": 0.16079494128274616,
630
+ "grad_norm": 0.3123482151135741,
631
+ "learning_rate": 2.904352305959606e-05,
632
+ "loss": 0.594,
633
+ "step": 89
634
+ },
635
+ {
636
+ "epoch": 0.16260162601626016,
637
+ "grad_norm": 0.29086528776110065,
638
+ "learning_rate": 2.9011732482257835e-05,
639
+ "loss": 0.5858,
640
+ "step": 90
641
+ },
642
+ {
643
+ "epoch": 0.16440831074977416,
644
+ "grad_norm": 0.32777518300425235,
645
+ "learning_rate": 2.89794401730596e-05,
646
+ "loss": 0.5838,
647
+ "step": 91
648
+ },
649
+ {
650
+ "epoch": 0.16621499548328816,
651
+ "grad_norm": 0.31282829577117277,
652
+ "learning_rate": 2.894664728832377e-05,
653
+ "loss": 0.5878,
654
+ "step": 92
655
+ },
656
+ {
657
+ "epoch": 0.16802168021680217,
658
+ "grad_norm": 0.30591224241436143,
659
+ "learning_rate": 2.8913355002297367e-05,
660
+ "loss": 0.5943,
661
+ "step": 93
662
+ },
663
+ {
664
+ "epoch": 0.16982836495031617,
665
+ "grad_norm": 0.3454363395865153,
666
+ "learning_rate": 2.887956450710995e-05,
667
+ "loss": 0.5939,
668
+ "step": 94
669
+ },
670
+ {
671
+ "epoch": 0.17163504968383017,
672
+ "grad_norm": 0.3119824836679083,
673
+ "learning_rate": 2.8845277012730963e-05,
674
+ "loss": 0.5859,
675
+ "step": 95
676
+ },
677
+ {
678
+ "epoch": 0.17344173441734417,
679
+ "grad_norm": 0.29451741781860913,
680
+ "learning_rate": 2.8810493746926364e-05,
681
+ "loss": 0.5853,
682
+ "step": 96
683
+ },
684
+ {
685
+ "epoch": 0.17524841915085818,
686
+ "grad_norm": 0.3034863549374876,
687
+ "learning_rate": 2.87752159552147e-05,
688
+ "loss": 0.591,
689
+ "step": 97
690
+ },
691
+ {
692
+ "epoch": 0.17705510388437218,
693
+ "grad_norm": 0.28746917797897076,
694
+ "learning_rate": 2.87394449008225e-05,
695
+ "loss": 0.5841,
696
+ "step": 98
697
+ },
698
+ {
699
+ "epoch": 0.17886178861788618,
700
+ "grad_norm": 0.30996182677103346,
701
+ "learning_rate": 2.8703181864639013e-05,
702
+ "loss": 0.5969,
703
+ "step": 99
704
+ },
705
+ {
706
+ "epoch": 0.18066847335140018,
707
+ "grad_norm": 0.29091619146077263,
708
+ "learning_rate": 2.8666428145170385e-05,
709
+ "loss": 0.5702,
710
+ "step": 100
711
+ },
712
+ {
713
+ "epoch": 0.18247515808491419,
714
+ "grad_norm": 0.2868056287309143,
715
+ "learning_rate": 2.8629185058493116e-05,
716
+ "loss": 0.5862,
717
+ "step": 101
718
+ },
719
+ {
720
+ "epoch": 0.1842818428184282,
721
+ "grad_norm": 0.3505705678502723,
722
+ "learning_rate": 2.8591453938206985e-05,
723
+ "loss": 0.6047,
724
+ "step": 102
725
+ },
726
+ {
727
+ "epoch": 0.1860885275519422,
728
+ "grad_norm": 0.27071275031049963,
729
+ "learning_rate": 2.8553236135387247e-05,
730
+ "loss": 0.5829,
731
+ "step": 103
732
+ },
733
+ {
734
+ "epoch": 0.1878952122854562,
735
+ "grad_norm": 0.33734329421620535,
736
+ "learning_rate": 2.8514533018536286e-05,
737
+ "loss": 0.5811,
738
+ "step": 104
739
+ },
740
+ {
741
+ "epoch": 0.1897018970189702,
742
+ "grad_norm": 0.2770290286284249,
743
+ "learning_rate": 2.8475345973534605e-05,
744
+ "loss": 0.5732,
745
+ "step": 105
746
+ },
747
+ {
748
+ "epoch": 0.1915085817524842,
749
+ "grad_norm": 0.27942020628211717,
750
+ "learning_rate": 2.8435676403591193e-05,
751
+ "loss": 0.576,
752
+ "step": 106
753
+ },
754
+ {
755
+ "epoch": 0.1933152664859982,
756
+ "grad_norm": 0.28553078573573465,
757
+ "learning_rate": 2.8395525729193284e-05,
758
+ "loss": 0.5827,
759
+ "step": 107
760
+ },
761
+ {
762
+ "epoch": 0.1951219512195122,
763
+ "grad_norm": 0.25251226579381214,
764
+ "learning_rate": 2.835489538805548e-05,
765
+ "loss": 0.5802,
766
+ "step": 108
767
+ },
768
+ {
769
+ "epoch": 0.1969286359530262,
770
+ "grad_norm": 0.27568353405316703,
771
+ "learning_rate": 2.8313786835068314e-05,
772
+ "loss": 0.589,
773
+ "step": 109
774
+ },
775
+ {
776
+ "epoch": 0.1987353206865402,
777
+ "grad_norm": 0.27356824941424274,
778
+ "learning_rate": 2.8272201542246077e-05,
779
+ "loss": 0.5708,
780
+ "step": 110
781
+ },
782
+ {
783
+ "epoch": 0.2005420054200542,
784
+ "grad_norm": 0.2930130437286294,
785
+ "learning_rate": 2.8230140998674185e-05,
786
+ "loss": 0.5906,
787
+ "step": 111
788
+ },
789
+ {
790
+ "epoch": 0.2023486901535682,
791
+ "grad_norm": 0.27001628683011253,
792
+ "learning_rate": 2.8187606710455807e-05,
793
+ "loss": 0.584,
794
+ "step": 112
795
+ },
796
+ {
797
+ "epoch": 0.2041553748870822,
798
+ "grad_norm": 0.30271557970745333,
799
+ "learning_rate": 2.8144600200657953e-05,
800
+ "loss": 0.5881,
801
+ "step": 113
802
+ },
803
+ {
804
+ "epoch": 0.20596205962059622,
805
+ "grad_norm": 0.3099699158916623,
806
+ "learning_rate": 2.8101123009256946e-05,
807
+ "loss": 0.5711,
808
+ "step": 114
809
+ },
810
+ {
811
+ "epoch": 0.20776874435411022,
812
+ "grad_norm": 0.26752391302167267,
813
+ "learning_rate": 2.8057176693083253e-05,
814
+ "loss": 0.5871,
815
+ "step": 115
816
+ },
817
+ {
818
+ "epoch": 0.20957542908762422,
819
+ "grad_norm": 0.30529403725575444,
820
+ "learning_rate": 2.8012762825765763e-05,
821
+ "loss": 0.5808,
822
+ "step": 116
823
+ },
824
+ {
825
+ "epoch": 0.21138211382113822,
826
+ "grad_norm": 0.30990442497802834,
827
+ "learning_rate": 2.7967882997675424e-05,
828
+ "loss": 0.5921,
829
+ "step": 117
830
+ },
831
+ {
832
+ "epoch": 0.21318879855465223,
833
+ "grad_norm": 0.29406959285002965,
834
+ "learning_rate": 2.7922538815868287e-05,
835
+ "loss": 0.5792,
836
+ "step": 118
837
+ },
838
+ {
839
+ "epoch": 0.21499548328816623,
840
+ "grad_norm": 0.26020193379576106,
841
+ "learning_rate": 2.7876731904027994e-05,
842
+ "loss": 0.5695,
843
+ "step": 119
844
+ },
845
+ {
846
+ "epoch": 0.21680216802168023,
847
+ "grad_norm": 0.3062499009336232,
848
+ "learning_rate": 2.78304639024076e-05,
849
+ "loss": 0.5885,
850
+ "step": 120
851
+ },
852
+ {
853
+ "epoch": 0.2186088527551942,
854
+ "grad_norm": 0.26339824339450146,
855
+ "learning_rate": 2.7783736467770863e-05,
856
+ "loss": 0.5839,
857
+ "step": 121
858
+ },
859
+ {
860
+ "epoch": 0.2204155374887082,
861
+ "grad_norm": 0.2997530840298656,
862
+ "learning_rate": 2.7736551273332908e-05,
863
+ "loss": 0.589,
864
+ "step": 122
865
+ },
866
+ {
867
+ "epoch": 0.2222222222222222,
868
+ "grad_norm": 0.30497954819719497,
869
+ "learning_rate": 2.7688910008700305e-05,
870
+ "loss": 0.5787,
871
+ "step": 123
872
+ },
873
+ {
874
+ "epoch": 0.2240289069557362,
875
+ "grad_norm": 0.25400958693406966,
876
+ "learning_rate": 2.764081437981059e-05,
877
+ "loss": 0.5651,
878
+ "step": 124
879
+ },
880
+ {
881
+ "epoch": 0.22583559168925021,
882
+ "grad_norm": 0.27337312352788334,
883
+ "learning_rate": 2.7592266108871158e-05,
884
+ "loss": 0.5721,
885
+ "step": 125
886
+ },
887
+ {
888
+ "epoch": 0.22764227642276422,
889
+ "grad_norm": 0.3015648108540393,
890
+ "learning_rate": 2.754326693429761e-05,
891
+ "loss": 0.5846,
892
+ "step": 126
893
+ },
894
+ {
895
+ "epoch": 0.22944896115627822,
896
+ "grad_norm": 0.3066830899471946,
897
+ "learning_rate": 2.7493818610651493e-05,
898
+ "loss": 0.5773,
899
+ "step": 127
900
+ },
901
+ {
902
+ "epoch": 0.23125564588979222,
903
+ "grad_norm": 0.2557038265672841,
904
+ "learning_rate": 2.744392290857747e-05,
905
+ "loss": 0.5766,
906
+ "step": 128
907
+ },
908
+ {
909
+ "epoch": 0.23306233062330622,
910
+ "grad_norm": 0.28287498283890955,
911
+ "learning_rate": 2.7393581614739924e-05,
912
+ "loss": 0.572,
913
+ "step": 129
914
+ },
915
+ {
916
+ "epoch": 0.23486901535682023,
917
+ "grad_norm": 0.2760546012980017,
918
+ "learning_rate": 2.7342796531758984e-05,
919
+ "loss": 0.5902,
920
+ "step": 130
921
+ },
922
+ {
923
+ "epoch": 0.23667570009033423,
924
+ "grad_norm": 0.29650720341579806,
925
+ "learning_rate": 2.729156947814598e-05,
926
+ "loss": 0.5849,
927
+ "step": 131
928
+ },
929
+ {
930
+ "epoch": 0.23848238482384823,
931
+ "grad_norm": 0.2648334919033985,
932
+ "learning_rate": 2.7239902288238297e-05,
933
+ "loss": 0.5635,
934
+ "step": 132
935
+ },
936
+ {
937
+ "epoch": 0.24028906955736223,
938
+ "grad_norm": 0.2684479411326874,
939
+ "learning_rate": 2.7187796812133733e-05,
940
+ "loss": 0.5789,
941
+ "step": 133
942
+ },
943
+ {
944
+ "epoch": 0.24209575429087624,
945
+ "grad_norm": 0.2903853719359672,
946
+ "learning_rate": 2.7135254915624213e-05,
947
+ "loss": 0.5795,
948
+ "step": 134
949
+ },
950
+ {
951
+ "epoch": 0.24390243902439024,
952
+ "grad_norm": 0.2988296028667376,
953
+ "learning_rate": 2.708227848012901e-05,
954
+ "loss": 0.5771,
955
+ "step": 135
956
+ },
957
+ {
958
+ "epoch": 0.24570912375790424,
959
+ "grad_norm": 0.278887060643492,
960
+ "learning_rate": 2.7028869402627357e-05,
961
+ "loss": 0.5805,
962
+ "step": 136
963
+ },
964
+ {
965
+ "epoch": 0.24751580849141824,
966
+ "grad_norm": 0.3079715134179689,
967
+ "learning_rate": 2.6975029595590523e-05,
968
+ "loss": 0.5643,
969
+ "step": 137
970
+ },
971
+ {
972
+ "epoch": 0.24932249322493225,
973
+ "grad_norm": 0.2797620060845942,
974
+ "learning_rate": 2.6920760986913332e-05,
975
+ "loss": 0.5813,
976
+ "step": 138
977
+ },
978
+ {
979
+ "epoch": 0.25112917795844625,
980
+ "grad_norm": 0.28689667632739463,
981
+ "learning_rate": 2.6866065519845124e-05,
982
+ "loss": 0.5841,
983
+ "step": 139
984
+ },
985
+ {
986
+ "epoch": 0.2529358626919603,
987
+ "grad_norm": 0.2648041926457305,
988
+ "learning_rate": 2.681094515292018e-05,
989
+ "loss": 0.5837,
990
+ "step": 140
991
+ },
992
+ {
993
+ "epoch": 0.25474254742547425,
994
+ "grad_norm": 0.25173007019005905,
995
+ "learning_rate": 2.6755401859887598e-05,
996
+ "loss": 0.5647,
997
+ "step": 141
998
+ },
999
+ {
1000
+ "epoch": 0.2565492321589883,
1001
+ "grad_norm": 0.31032191815468113,
1002
+ "learning_rate": 2.6699437629640595e-05,
1003
+ "loss": 0.5843,
1004
+ "step": 142
1005
+ },
1006
+ {
1007
+ "epoch": 0.25835591689250226,
1008
+ "grad_norm": 0.2888788250337772,
1009
+ "learning_rate": 2.6643054466145297e-05,
1010
+ "loss": 0.5761,
1011
+ "step": 143
1012
+ },
1013
+ {
1014
+ "epoch": 0.2601626016260163,
1015
+ "grad_norm": 0.2760034707559814,
1016
+ "learning_rate": 2.6586254388368995e-05,
1017
+ "loss": 0.5647,
1018
+ "step": 144
1019
+ },
1020
+ {
1021
+ "epoch": 0.26196928635953026,
1022
+ "grad_norm": 0.32528080890474936,
1023
+ "learning_rate": 2.652903943020783e-05,
1024
+ "loss": 0.5772,
1025
+ "step": 145
1026
+ },
1027
+ {
1028
+ "epoch": 0.26377597109304424,
1029
+ "grad_norm": 0.2637573911390966,
1030
+ "learning_rate": 2.647141164041398e-05,
1031
+ "loss": 0.5821,
1032
+ "step": 146
1033
+ },
1034
+ {
1035
+ "epoch": 0.26558265582655827,
1036
+ "grad_norm": 0.2761207440107144,
1037
+ "learning_rate": 2.641337308252228e-05,
1038
+ "loss": 0.5718,
1039
+ "step": 147
1040
+ },
1041
+ {
1042
+ "epoch": 0.26738934056007224,
1043
+ "grad_norm": 0.2974380721456416,
1044
+ "learning_rate": 2.6354925834776346e-05,
1045
+ "loss": 0.5733,
1046
+ "step": 148
1047
+ },
1048
+ {
1049
+ "epoch": 0.26919602529358627,
1050
+ "grad_norm": 0.2875371174946777,
1051
+ "learning_rate": 2.6296071990054167e-05,
1052
+ "loss": 0.5703,
1053
+ "step": 149
1054
+ },
1055
+ {
1056
+ "epoch": 0.27100271002710025,
1057
+ "grad_norm": 0.26400215153050155,
1058
+ "learning_rate": 2.6236813655793123e-05,
1059
+ "loss": 0.5801,
1060
+ "step": 150
1061
+ },
1062
+ {
1063
+ "epoch": 0.2728093947606143,
1064
+ "grad_norm": 0.2740289239257524,
1065
+ "learning_rate": 2.617715295391457e-05,
1066
+ "loss": 0.5621,
1067
+ "step": 151
1068
+ },
1069
+ {
1070
+ "epoch": 0.27461607949412825,
1071
+ "grad_norm": 0.26263956805016714,
1072
+ "learning_rate": 2.6117092020747824e-05,
1073
+ "loss": 0.5697,
1074
+ "step": 152
1075
+ },
1076
+ {
1077
+ "epoch": 0.2764227642276423,
1078
+ "grad_norm": 0.27308995986851226,
1079
+ "learning_rate": 2.6056633006953677e-05,
1080
+ "loss": 0.5697,
1081
+ "step": 153
1082
+ },
1083
+ {
1084
+ "epoch": 0.27822944896115626,
1085
+ "grad_norm": 0.2682634840950432,
1086
+ "learning_rate": 2.5995778077447393e-05,
1087
+ "loss": 0.5735,
1088
+ "step": 154
1089
+ },
1090
+ {
1091
+ "epoch": 0.2800361336946703,
1092
+ "grad_norm": 0.30213654494482944,
1093
+ "learning_rate": 2.5934529411321174e-05,
1094
+ "loss": 0.5668,
1095
+ "step": 155
1096
+ },
1097
+ {
1098
+ "epoch": 0.28184281842818426,
1099
+ "grad_norm": 0.24055343886463815,
1100
+ "learning_rate": 2.587288920176613e-05,
1101
+ "loss": 0.5662,
1102
+ "step": 156
1103
+ },
1104
+ {
1105
+ "epoch": 0.2836495031616983,
1106
+ "grad_norm": 0.2913187789114745,
1107
+ "learning_rate": 2.581085965599375e-05,
1108
+ "loss": 0.5795,
1109
+ "step": 157
1110
+ },
1111
+ {
1112
+ "epoch": 0.28545618789521227,
1113
+ "grad_norm": 0.2576506841389344,
1114
+ "learning_rate": 2.5748442995156882e-05,
1115
+ "loss": 0.5766,
1116
+ "step": 158
1117
+ },
1118
+ {
1119
+ "epoch": 0.2872628726287263,
1120
+ "grad_norm": 0.27596403754545956,
1121
+ "learning_rate": 2.5685641454270172e-05,
1122
+ "loss": 0.5577,
1123
+ "step": 159
1124
+ },
1125
+ {
1126
+ "epoch": 0.28906955736224027,
1127
+ "grad_norm": 0.2935051396800575,
1128
+ "learning_rate": 2.5622457282130046e-05,
1129
+ "loss": 0.5668,
1130
+ "step": 160
1131
+ },
1132
+ {
1133
+ "epoch": 0.2908762420957543,
1134
+ "grad_norm": 0.261323419986792,
1135
+ "learning_rate": 2.5558892741234173e-05,
1136
+ "loss": 0.5744,
1137
+ "step": 161
1138
+ },
1139
+ {
1140
+ "epoch": 0.2926829268292683,
1141
+ "grad_norm": 0.29994364267277224,
1142
+ "learning_rate": 2.5494950107700482e-05,
1143
+ "loss": 0.5606,
1144
+ "step": 162
1145
+ },
1146
+ {
1147
+ "epoch": 0.2944896115627823,
1148
+ "grad_norm": 0.25057252176689093,
1149
+ "learning_rate": 2.5430631671185616e-05,
1150
+ "loss": 0.5689,
1151
+ "step": 163
1152
+ },
1153
+ {
1154
+ "epoch": 0.2962962962962963,
1155
+ "grad_norm": 0.30439652791987415,
1156
+ "learning_rate": 2.5365939734802973e-05,
1157
+ "loss": 0.5784,
1158
+ "step": 164
1159
+ },
1160
+ {
1161
+ "epoch": 0.2981029810298103,
1162
+ "grad_norm": 0.2561891058565834,
1163
+ "learning_rate": 2.5300876615040223e-05,
1164
+ "loss": 0.5693,
1165
+ "step": 165
1166
+ },
1167
+ {
1168
+ "epoch": 0.2999096657633243,
1169
+ "grad_norm": 0.30789286843223074,
1170
+ "learning_rate": 2.523544464167637e-05,
1171
+ "loss": 0.5755,
1172
+ "step": 166
1173
+ },
1174
+ {
1175
+ "epoch": 0.3017163504968383,
1176
+ "grad_norm": 0.2604413140600789,
1177
+ "learning_rate": 2.5169646157698313e-05,
1178
+ "loss": 0.574,
1179
+ "step": 167
1180
+ },
1181
+ {
1182
+ "epoch": 0.3035230352303523,
1183
+ "grad_norm": 0.2772614270807846,
1184
+ "learning_rate": 2.5103483519216964e-05,
1185
+ "loss": 0.5731,
1186
+ "step": 168
1187
+ },
1188
+ {
1189
+ "epoch": 0.3053297199638663,
1190
+ "grad_norm": 0.26896696271290815,
1191
+ "learning_rate": 2.5036959095382875e-05,
1192
+ "loss": 0.565,
1193
+ "step": 169
1194
+ },
1195
+ {
1196
+ "epoch": 0.3071364046973803,
1197
+ "grad_norm": 0.29065186309501,
1198
+ "learning_rate": 2.4970075268301388e-05,
1199
+ "loss": 0.5783,
1200
+ "step": 170
1201
+ },
1202
+ {
1203
+ "epoch": 0.3089430894308943,
1204
+ "grad_norm": 0.2466338266655888,
1205
+ "learning_rate": 2.4902834432947353e-05,
1206
+ "loss": 0.5614,
1207
+ "step": 171
1208
+ },
1209
+ {
1210
+ "epoch": 0.3107497741644083,
1211
+ "grad_norm": 0.27214096978444124,
1212
+ "learning_rate": 2.4835238997079382e-05,
1213
+ "loss": 0.5687,
1214
+ "step": 172
1215
+ },
1216
+ {
1217
+ "epoch": 0.31255645889792233,
1218
+ "grad_norm": 0.2651928040714497,
1219
+ "learning_rate": 2.4767291381153603e-05,
1220
+ "loss": 0.5719,
1221
+ "step": 173
1222
+ },
1223
+ {
1224
+ "epoch": 0.3143631436314363,
1225
+ "grad_norm": 0.23672196782852778,
1226
+ "learning_rate": 2.4698994018236994e-05,
1227
+ "loss": 0.5631,
1228
+ "step": 174
1229
+ },
1230
+ {
1231
+ "epoch": 0.31616982836495033,
1232
+ "grad_norm": 0.28356502585206267,
1233
+ "learning_rate": 2.4630349353920284e-05,
1234
+ "loss": 0.5671,
1235
+ "step": 175
1236
+ },
1237
+ {
1238
+ "epoch": 0.3179765130984643,
1239
+ "grad_norm": 0.28540875579685554,
1240
+ "learning_rate": 2.4561359846230346e-05,
1241
+ "loss": 0.5818,
1242
+ "step": 176
1243
+ },
1244
+ {
1245
+ "epoch": 0.31978319783197834,
1246
+ "grad_norm": 0.24190126114290808,
1247
+ "learning_rate": 2.4492027965542217e-05,
1248
+ "loss": 0.5569,
1249
+ "step": 177
1250
+ },
1251
+ {
1252
+ "epoch": 0.3215898825654923,
1253
+ "grad_norm": 0.27287155700655424,
1254
+ "learning_rate": 2.44223561944906e-05,
1255
+ "loss": 0.5643,
1256
+ "step": 178
1257
+ },
1258
+ {
1259
+ "epoch": 0.32339656729900634,
1260
+ "grad_norm": 0.24924695151585574,
1261
+ "learning_rate": 2.4352347027881003e-05,
1262
+ "loss": 0.5738,
1263
+ "step": 179
1264
+ },
1265
+ {
1266
+ "epoch": 0.3252032520325203,
1267
+ "grad_norm": 0.2759090650898249,
1268
+ "learning_rate": 2.4282002972600382e-05,
1269
+ "loss": 0.5817,
1270
+ "step": 180
1271
+ },
1272
+ {
1273
+ "epoch": 0.32700993676603435,
1274
+ "grad_norm": 0.22785083526499783,
1275
+ "learning_rate": 2.4211326547527377e-05,
1276
+ "loss": 0.5601,
1277
+ "step": 181
1278
+ },
1279
+ {
1280
+ "epoch": 0.3288166214995483,
1281
+ "grad_norm": 0.2691907674221595,
1282
+ "learning_rate": 2.4140320283442125e-05,
1283
+ "loss": 0.5699,
1284
+ "step": 182
1285
+ },
1286
+ {
1287
+ "epoch": 0.33062330623306235,
1288
+ "grad_norm": 0.2708392714868768,
1289
+ "learning_rate": 2.4068986722935625e-05,
1290
+ "loss": 0.5806,
1291
+ "step": 183
1292
+ },
1293
+ {
1294
+ "epoch": 0.3324299909665763,
1295
+ "grad_norm": 0.27339466736189244,
1296
+ "learning_rate": 2.3997328420318705e-05,
1297
+ "loss": 0.5769,
1298
+ "step": 184
1299
+ },
1300
+ {
1301
+ "epoch": 0.33423667570009036,
1302
+ "grad_norm": 0.26435674776037377,
1303
+ "learning_rate": 2.3925347941530556e-05,
1304
+ "loss": 0.5733,
1305
+ "step": 185
1306
+ },
1307
+ {
1308
+ "epoch": 0.33604336043360433,
1309
+ "grad_norm": 0.26341316111660884,
1310
+ "learning_rate": 2.3853047864046843e-05,
1311
+ "loss": 0.5684,
1312
+ "step": 186
1313
+ },
1314
+ {
1315
+ "epoch": 0.33785004516711836,
1316
+ "grad_norm": 0.27858160542364235,
1317
+ "learning_rate": 2.3780430776787413e-05,
1318
+ "loss": 0.5658,
1319
+ "step": 187
1320
+ },
1321
+ {
1322
+ "epoch": 0.33965672990063234,
1323
+ "grad_norm": 0.23833042598843737,
1324
+ "learning_rate": 2.3707499280023604e-05,
1325
+ "loss": 0.5655,
1326
+ "step": 188
1327
+ },
1328
+ {
1329
+ "epoch": 0.34146341463414637,
1330
+ "grad_norm": 0.2808631689375272,
1331
+ "learning_rate": 2.3634255985285104e-05,
1332
+ "loss": 0.5729,
1333
+ "step": 189
1334
+ },
1335
+ {
1336
+ "epoch": 0.34327009936766034,
1337
+ "grad_norm": 0.25111983735673515,
1338
+ "learning_rate": 2.356070351526648e-05,
1339
+ "loss": 0.562,
1340
+ "step": 190
1341
+ },
1342
+ {
1343
+ "epoch": 0.34507678410117437,
1344
+ "grad_norm": 0.2571681206798971,
1345
+ "learning_rate": 2.348684450373322e-05,
1346
+ "loss": 0.5599,
1347
+ "step": 191
1348
+ },
1349
+ {
1350
+ "epoch": 0.34688346883468835,
1351
+ "grad_norm": 0.2409025648925046,
1352
+ "learning_rate": 2.3412681595427467e-05,
1353
+ "loss": 0.5674,
1354
+ "step": 192
1355
+ },
1356
+ {
1357
+ "epoch": 0.3486901535682023,
1358
+ "grad_norm": 0.29444654953284566,
1359
+ "learning_rate": 2.3338217445973268e-05,
1360
+ "loss": 0.5687,
1361
+ "step": 193
1362
+ },
1363
+ {
1364
+ "epoch": 0.35049683830171635,
1365
+ "grad_norm": 0.2496920890877963,
1366
+ "learning_rate": 2.3263454721781537e-05,
1367
+ "loss": 0.5705,
1368
+ "step": 194
1369
+ },
1370
+ {
1371
+ "epoch": 0.3523035230352303,
1372
+ "grad_norm": 0.27467425910302257,
1373
+ "learning_rate": 2.318839609995453e-05,
1374
+ "loss": 0.5536,
1375
+ "step": 195
1376
+ },
1377
+ {
1378
+ "epoch": 0.35411020776874436,
1379
+ "grad_norm": 0.25067206006192067,
1380
+ "learning_rate": 2.3113044268189995e-05,
1381
+ "loss": 0.5668,
1382
+ "step": 196
1383
+ },
1384
+ {
1385
+ "epoch": 0.35591689250225833,
1386
+ "grad_norm": 0.25127765224467463,
1387
+ "learning_rate": 2.303740192468495e-05,
1388
+ "loss": 0.5671,
1389
+ "step": 197
1390
+ },
1391
+ {
1392
+ "epoch": 0.35772357723577236,
1393
+ "grad_norm": 0.2742190997822365,
1394
+ "learning_rate": 2.2961471778039045e-05,
1395
+ "loss": 0.5436,
1396
+ "step": 198
1397
+ },
1398
+ {
1399
+ "epoch": 0.35953026196928634,
1400
+ "grad_norm": 0.2617420424365515,
1401
+ "learning_rate": 2.288525654715757e-05,
1402
+ "loss": 0.567,
1403
+ "step": 199
1404
+ },
1405
+ {
1406
+ "epoch": 0.36133694670280037,
1407
+ "grad_norm": 0.2601868662327404,
1408
+ "learning_rate": 2.280875896115413e-05,
1409
+ "loss": 0.556,
1410
+ "step": 200
1411
+ },
1412
+ {
1413
+ "epoch": 0.36314363143631434,
1414
+ "grad_norm": 0.2488467816010916,
1415
+ "learning_rate": 2.2731981759252876e-05,
1416
+ "loss": 0.5506,
1417
+ "step": 201
1418
+ },
1419
+ {
1420
+ "epoch": 0.36495031616982837,
1421
+ "grad_norm": 0.24184725633849133,
1422
+ "learning_rate": 2.2654927690690445e-05,
1423
+ "loss": 0.5773,
1424
+ "step": 202
1425
+ },
1426
+ {
1427
+ "epoch": 0.36675700090334235,
1428
+ "grad_norm": 0.25373414117124127,
1429
+ "learning_rate": 2.257759951461752e-05,
1430
+ "loss": 0.5641,
1431
+ "step": 203
1432
+ },
1433
+ {
1434
+ "epoch": 0.3685636856368564,
1435
+ "grad_norm": 0.26564822413876754,
1436
+ "learning_rate": 2.25e-05,
1437
+ "loss": 0.5773,
1438
+ "step": 204
1439
+ },
1440
+ {
1441
+ "epoch": 0.37037037037037035,
1442
+ "grad_norm": 0.22934416047361944,
1443
+ "learning_rate": 2.24221319255199e-05,
1444
+ "loss": 0.5677,
1445
+ "step": 205
1446
+ },
1447
+ {
1448
+ "epoch": 0.3721770551038844,
1449
+ "grad_norm": 0.27064508142785815,
1450
+ "learning_rate": 2.234399807947579e-05,
1451
+ "loss": 0.5548,
1452
+ "step": 206
1453
+ },
1454
+ {
1455
+ "epoch": 0.37398373983739835,
1456
+ "grad_norm": 0.2371896313671772,
1457
+ "learning_rate": 2.2265601259683e-05,
1458
+ "loss": 0.5627,
1459
+ "step": 207
1460
+ },
1461
+ {
1462
+ "epoch": 0.3757904245709124,
1463
+ "grad_norm": 0.24008373009834236,
1464
+ "learning_rate": 2.2186944273373426e-05,
1465
+ "loss": 0.5499,
1466
+ "step": 208
1467
+ },
1468
+ {
1469
+ "epoch": 0.37759710930442636,
1470
+ "grad_norm": 0.25685866079731606,
1471
+ "learning_rate": 2.210802993709498e-05,
1472
+ "loss": 0.5717,
1473
+ "step": 209
1474
+ },
1475
+ {
1476
+ "epoch": 0.3794037940379404,
1477
+ "grad_norm": 0.2629866117258039,
1478
+ "learning_rate": 2.202886107661078e-05,
1479
+ "loss": 0.5676,
1480
+ "step": 210
1481
+ },
1482
+ {
1483
+ "epoch": 0.38121047877145436,
1484
+ "grad_norm": 0.2522800121206238,
1485
+ "learning_rate": 2.1949440526797928e-05,
1486
+ "loss": 0.5669,
1487
+ "step": 211
1488
+ },
1489
+ {
1490
+ "epoch": 0.3830171635049684,
1491
+ "grad_norm": 0.2540123635971477,
1492
+ "learning_rate": 2.1869771131546015e-05,
1493
+ "loss": 0.5746,
1494
+ "step": 212
1495
+ },
1496
+ {
1497
+ "epoch": 0.38482384823848237,
1498
+ "grad_norm": 0.2673805985713425,
1499
+ "learning_rate": 2.178985574365529e-05,
1500
+ "loss": 0.5751,
1501
+ "step": 213
1502
+ },
1503
+ {
1504
+ "epoch": 0.3866305329719964,
1505
+ "grad_norm": 0.26844790033448696,
1506
+ "learning_rate": 2.170969722473449e-05,
1507
+ "loss": 0.5608,
1508
+ "step": 214
1509
+ },
1510
+ {
1511
+ "epoch": 0.3884372177055104,
1512
+ "grad_norm": 0.3287228900436167,
1513
+ "learning_rate": 2.1629298445098403e-05,
1514
+ "loss": 0.5881,
1515
+ "step": 215
1516
+ },
1517
+ {
1518
+ "epoch": 0.3902439024390244,
1519
+ "grad_norm": 0.24641908304543073,
1520
+ "learning_rate": 2.154866228366505e-05,
1521
+ "loss": 0.5767,
1522
+ "step": 216
1523
+ },
1524
+ {
1525
+ "epoch": 0.3920505871725384,
1526
+ "grad_norm": 0.2356470126020688,
1527
+ "learning_rate": 2.146779162785263e-05,
1528
+ "loss": 0.5768,
1529
+ "step": 217
1530
+ },
1531
+ {
1532
+ "epoch": 0.3938572719060524,
1533
+ "grad_norm": 0.26263666882985864,
1534
+ "learning_rate": 2.138668937347609e-05,
1535
+ "loss": 0.5683,
1536
+ "step": 218
1537
+ },
1538
+ {
1539
+ "epoch": 0.3956639566395664,
1540
+ "grad_norm": 0.23701425043610796,
1541
+ "learning_rate": 2.1305358424643484e-05,
1542
+ "loss": 0.5634,
1543
+ "step": 219
1544
+ },
1545
+ {
1546
+ "epoch": 0.3974706413730804,
1547
+ "grad_norm": 0.24138606059569664,
1548
+ "learning_rate": 2.1223801693651927e-05,
1549
+ "loss": 0.5656,
1550
+ "step": 220
1551
+ },
1552
+ {
1553
+ "epoch": 0.3992773261065944,
1554
+ "grad_norm": 0.2595567201221021,
1555
+ "learning_rate": 2.114202210088336e-05,
1556
+ "loss": 0.5546,
1557
+ "step": 221
1558
+ },
1559
+ {
1560
+ "epoch": 0.4010840108401084,
1561
+ "grad_norm": 0.2491513558591219,
1562
+ "learning_rate": 2.106002257469993e-05,
1563
+ "loss": 0.5718,
1564
+ "step": 222
1565
+ },
1566
+ {
1567
+ "epoch": 0.4028906955736224,
1568
+ "grad_norm": 0.2486982800205461,
1569
+ "learning_rate": 2.0977806051339172e-05,
1570
+ "loss": 0.5551,
1571
+ "step": 223
1572
+ },
1573
+ {
1574
+ "epoch": 0.4046973803071364,
1575
+ "grad_norm": 0.23727864667012805,
1576
+ "learning_rate": 2.0895375474808857e-05,
1577
+ "loss": 0.559,
1578
+ "step": 224
1579
+ },
1580
+ {
1581
+ "epoch": 0.4065040650406504,
1582
+ "grad_norm": 0.287906688283815,
1583
+ "learning_rate": 2.0812733796781544e-05,
1584
+ "loss": 0.5648,
1585
+ "step": 225
1586
+ },
1587
+ {
1588
+ "epoch": 0.4083107497741644,
1589
+ "grad_norm": 0.23398485566681798,
1590
+ "learning_rate": 2.0729883976488936e-05,
1591
+ "loss": 0.5699,
1592
+ "step": 226
1593
+ },
1594
+ {
1595
+ "epoch": 0.4101174345076784,
1596
+ "grad_norm": 0.2672121559206604,
1597
+ "learning_rate": 2.064682898061588e-05,
1598
+ "loss": 0.5745,
1599
+ "step": 227
1600
+ },
1601
+ {
1602
+ "epoch": 0.41192411924119243,
1603
+ "grad_norm": 0.25274044632247594,
1604
+ "learning_rate": 2.0563571783194146e-05,
1605
+ "loss": 0.5607,
1606
+ "step": 228
1607
+ },
1608
+ {
1609
+ "epoch": 0.4137308039747064,
1610
+ "grad_norm": 0.23024580592682378,
1611
+ "learning_rate": 2.0480115365495928e-05,
1612
+ "loss": 0.5633,
1613
+ "step": 229
1614
+ },
1615
+ {
1616
+ "epoch": 0.41553748870822044,
1617
+ "grad_norm": 0.2643430047659416,
1618
+ "learning_rate": 2.0396462715927107e-05,
1619
+ "loss": 0.5657,
1620
+ "step": 230
1621
+ },
1622
+ {
1623
+ "epoch": 0.4173441734417344,
1624
+ "grad_norm": 0.24590645504611103,
1625
+ "learning_rate": 2.0312616829920222e-05,
1626
+ "loss": 0.5651,
1627
+ "step": 231
1628
+ },
1629
+ {
1630
+ "epoch": 0.41915085817524844,
1631
+ "grad_norm": 0.232079984180177,
1632
+ "learning_rate": 2.022858070982723e-05,
1633
+ "loss": 0.5676,
1634
+ "step": 232
1635
+ },
1636
+ {
1637
+ "epoch": 0.4209575429087624,
1638
+ "grad_norm": 0.23416214443037042,
1639
+ "learning_rate": 2.0144357364811973e-05,
1640
+ "loss": 0.5501,
1641
+ "step": 233
1642
+ },
1643
+ {
1644
+ "epoch": 0.42276422764227645,
1645
+ "grad_norm": 0.24394361384059154,
1646
+ "learning_rate": 2.0059949810742452e-05,
1647
+ "loss": 0.565,
1648
+ "step": 234
1649
+ },
1650
+ {
1651
+ "epoch": 0.4245709123757904,
1652
+ "grad_norm": 0.22171860398747742,
1653
+ "learning_rate": 1.997536107008281e-05,
1654
+ "loss": 0.5603,
1655
+ "step": 235
1656
+ },
1657
+ {
1658
+ "epoch": 0.42637759710930445,
1659
+ "grad_norm": 0.2573737818729415,
1660
+ "learning_rate": 1.9890594171785128e-05,
1661
+ "loss": 0.5718,
1662
+ "step": 236
1663
+ },
1664
+ {
1665
+ "epoch": 0.4281842818428184,
1666
+ "grad_norm": 0.24929065928195437,
1667
+ "learning_rate": 1.9805652151180945e-05,
1668
+ "loss": 0.5716,
1669
+ "step": 237
1670
+ },
1671
+ {
1672
+ "epoch": 0.42999096657633246,
1673
+ "grad_norm": 0.22521672092224404,
1674
+ "learning_rate": 1.972053804987258e-05,
1675
+ "loss": 0.5799,
1676
+ "step": 238
1677
+ },
1678
+ {
1679
+ "epoch": 0.43179765130984643,
1680
+ "grad_norm": 0.2400133312081751,
1681
+ "learning_rate": 1.963525491562421e-05,
1682
+ "loss": 0.5607,
1683
+ "step": 239
1684
+ },
1685
+ {
1686
+ "epoch": 0.43360433604336046,
1687
+ "grad_norm": 0.2220251642670775,
1688
+ "learning_rate": 1.954980580225275e-05,
1689
+ "loss": 0.5613,
1690
+ "step": 240
1691
+ },
1692
+ {
1693
+ "epoch": 0.43541102077687444,
1694
+ "grad_norm": 0.24242836746273963,
1695
+ "learning_rate": 1.946419376951848e-05,
1696
+ "loss": 0.5601,
1697
+ "step": 241
1698
+ },
1699
+ {
1700
+ "epoch": 0.4372177055103884,
1701
+ "grad_norm": 0.23280796509155544,
1702
+ "learning_rate": 1.9378421883015505e-05,
1703
+ "loss": 0.5608,
1704
+ "step": 242
1705
+ },
1706
+ {
1707
+ "epoch": 0.43902439024390244,
1708
+ "grad_norm": 0.2424520004437008,
1709
+ "learning_rate": 1.9292493214061953e-05,
1710
+ "loss": 0.5653,
1711
+ "step": 243
1712
+ },
1713
+ {
1714
+ "epoch": 0.4408310749774164,
1715
+ "grad_norm": 0.21938548719470424,
1716
+ "learning_rate": 1.9206410839590042e-05,
1717
+ "loss": 0.5713,
1718
+ "step": 244
1719
+ },
1720
+ {
1721
+ "epoch": 0.44263775971093045,
1722
+ "grad_norm": 0.2873818775831322,
1723
+ "learning_rate": 1.9120177842035853e-05,
1724
+ "loss": 0.5635,
1725
+ "step": 245
1726
+ },
1727
+ {
1728
+ "epoch": 0.4444444444444444,
1729
+ "grad_norm": 0.24359879240501903,
1730
+ "learning_rate": 1.9033797309228984e-05,
1731
+ "loss": 0.5703,
1732
+ "step": 246
1733
+ },
1734
+ {
1735
+ "epoch": 0.44625112917795845,
1736
+ "grad_norm": 0.2357242641893439,
1737
+ "learning_rate": 1.8947272334281977e-05,
1738
+ "loss": 0.5521,
1739
+ "step": 247
1740
+ },
1741
+ {
1742
+ "epoch": 0.4480578139114724,
1743
+ "grad_norm": 0.2462690537681842,
1744
+ "learning_rate": 1.8860606015479537e-05,
1745
+ "loss": 0.5706,
1746
+ "step": 248
1747
+ },
1748
+ {
1749
+ "epoch": 0.44986449864498645,
1750
+ "grad_norm": 0.23970905475638837,
1751
+ "learning_rate": 1.877380145616763e-05,
1752
+ "loss": 0.5543,
1753
+ "step": 249
1754
+ },
1755
+ {
1756
+ "epoch": 0.45167118337850043,
1757
+ "grad_norm": 0.25559374336438795,
1758
+ "learning_rate": 1.868686176464232e-05,
1759
+ "loss": 0.5694,
1760
+ "step": 250
1761
+ },
1762
+ {
1763
+ "epoch": 0.45347786811201446,
1764
+ "grad_norm": 0.22667022533452194,
1765
+ "learning_rate": 1.8599790054038487e-05,
1766
+ "loss": 0.5563,
1767
+ "step": 251
1768
+ },
1769
+ {
1770
+ "epoch": 0.45528455284552843,
1771
+ "grad_norm": 0.2328027982974321,
1772
+ "learning_rate": 1.8512589442218358e-05,
1773
+ "loss": 0.5384,
1774
+ "step": 252
1775
+ },
1776
+ {
1777
+ "epoch": 0.45709123757904246,
1778
+ "grad_norm": 0.2490658489853876,
1779
+ "learning_rate": 1.8425263051659838e-05,
1780
+ "loss": 0.5613,
1781
+ "step": 253
1782
+ },
1783
+ {
1784
+ "epoch": 0.45889792231255644,
1785
+ "grad_norm": 0.25086634603487334,
1786
+ "learning_rate": 1.8337814009344716e-05,
1787
+ "loss": 0.5602,
1788
+ "step": 254
1789
+ },
1790
+ {
1791
+ "epoch": 0.46070460704607047,
1792
+ "grad_norm": 0.25605732223142635,
1793
+ "learning_rate": 1.8250245446646707e-05,
1794
+ "loss": 0.5535,
1795
+ "step": 255
1796
+ },
1797
+ {
1798
+ "epoch": 0.46251129177958444,
1799
+ "grad_norm": 0.26469759888755845,
1800
+ "learning_rate": 1.8162560499219286e-05,
1801
+ "loss": 0.5537,
1802
+ "step": 256
1803
+ },
1804
+ {
1805
+ "epoch": 0.4643179765130985,
1806
+ "grad_norm": 0.2476106293930312,
1807
+ "learning_rate": 1.807476230688346e-05,
1808
+ "loss": 0.5644,
1809
+ "step": 257
1810
+ },
1811
+ {
1812
+ "epoch": 0.46612466124661245,
1813
+ "grad_norm": 0.2611791488235218,
1814
+ "learning_rate": 1.7986854013515274e-05,
1815
+ "loss": 0.5589,
1816
+ "step": 258
1817
+ },
1818
+ {
1819
+ "epoch": 0.4679313459801265,
1820
+ "grad_norm": 0.25614740455319657,
1821
+ "learning_rate": 1.78988387669333e-05,
1822
+ "loss": 0.5626,
1823
+ "step": 259
1824
+ },
1825
+ {
1826
+ "epoch": 0.46973803071364045,
1827
+ "grad_norm": 0.26413847448296346,
1828
+ "learning_rate": 1.781071971878587e-05,
1829
+ "loss": 0.5763,
1830
+ "step": 260
1831
+ },
1832
+ {
1833
+ "epoch": 0.4715447154471545,
1834
+ "grad_norm": 0.2670037728752572,
1835
+ "learning_rate": 1.7722500024438244e-05,
1836
+ "loss": 0.5671,
1837
+ "step": 261
1838
+ },
1839
+ {
1840
+ "epoch": 0.47335140018066846,
1841
+ "grad_norm": 0.2655083894599294,
1842
+ "learning_rate": 1.7634182842859628e-05,
1843
+ "loss": 0.5556,
1844
+ "step": 262
1845
+ },
1846
+ {
1847
+ "epoch": 0.4751580849141825,
1848
+ "grad_norm": 0.2602266219558274,
1849
+ "learning_rate": 1.7545771336510033e-05,
1850
+ "loss": 0.5603,
1851
+ "step": 263
1852
+ },
1853
+ {
1854
+ "epoch": 0.47696476964769646,
1855
+ "grad_norm": 0.23837446328300185,
1856
+ "learning_rate": 1.7457268671227067e-05,
1857
+ "loss": 0.5661,
1858
+ "step": 264
1859
+ },
1860
+ {
1861
+ "epoch": 0.4787714543812105,
1862
+ "grad_norm": 0.2855243343978605,
1863
+ "learning_rate": 1.736867801611254e-05,
1864
+ "loss": 0.5479,
1865
+ "step": 265
1866
+ },
1867
+ {
1868
+ "epoch": 0.48057813911472447,
1869
+ "grad_norm": 0.23335711495710984,
1870
+ "learning_rate": 1.728000254341901e-05,
1871
+ "loss": 0.5717,
1872
+ "step": 266
1873
+ },
1874
+ {
1875
+ "epoch": 0.4823848238482385,
1876
+ "grad_norm": 0.2257992261469873,
1877
+ "learning_rate": 1.7191245428436175e-05,
1878
+ "loss": 0.5566,
1879
+ "step": 267
1880
+ },
1881
+ {
1882
+ "epoch": 0.48419150858175247,
1883
+ "grad_norm": 0.23986035421561297,
1884
+ "learning_rate": 1.7102409849377188e-05,
1885
+ "loss": 0.5563,
1886
+ "step": 268
1887
+ },
1888
+ {
1889
+ "epoch": 0.4859981933152665,
1890
+ "grad_norm": 0.22957382135670054,
1891
+ "learning_rate": 1.7013498987264832e-05,
1892
+ "loss": 0.5634,
1893
+ "step": 269
1894
+ },
1895
+ {
1896
+ "epoch": 0.4878048780487805,
1897
+ "grad_norm": 0.2332081125649847,
1898
+ "learning_rate": 1.6924516025817636e-05,
1899
+ "loss": 0.5448,
1900
+ "step": 270
1901
+ },
1902
+ {
1903
+ "epoch": 0.4896115627822945,
1904
+ "grad_norm": 0.2358236013629391,
1905
+ "learning_rate": 1.683546415133584e-05,
1906
+ "loss": 0.5663,
1907
+ "step": 271
1908
+ },
1909
+ {
1910
+ "epoch": 0.4914182475158085,
1911
+ "grad_norm": 0.2651609439225248,
1912
+ "learning_rate": 1.6746346552587342e-05,
1913
+ "loss": 0.561,
1914
+ "step": 272
1915
+ },
1916
+ {
1917
+ "epoch": 0.4932249322493225,
1918
+ "grad_norm": 0.25056099802020176,
1919
+ "learning_rate": 1.665716642069349e-05,
1920
+ "loss": 0.5689,
1921
+ "step": 273
1922
+ },
1923
+ {
1924
+ "epoch": 0.4950316169828365,
1925
+ "grad_norm": 0.2699052892919483,
1926
+ "learning_rate": 1.6567926949014805e-05,
1927
+ "loss": 0.5567,
1928
+ "step": 274
1929
+ },
1930
+ {
1931
+ "epoch": 0.4968383017163505,
1932
+ "grad_norm": 0.23647220641096864,
1933
+ "learning_rate": 1.6478631333036655e-05,
1934
+ "loss": 0.5507,
1935
+ "step": 275
1936
+ },
1937
+ {
1938
+ "epoch": 0.4986449864498645,
1939
+ "grad_norm": 0.21602219843408765,
1940
+ "learning_rate": 1.638928277025482e-05,
1941
+ "loss": 0.5432,
1942
+ "step": 276
1943
+ },
1944
+ {
1945
+ "epoch": 0.5004516711833785,
1946
+ "grad_norm": 0.2354573231695346,
1947
+ "learning_rate": 1.6299884460061005e-05,
1948
+ "loss": 0.5547,
1949
+ "step": 277
1950
+ },
1951
+ {
1952
+ "epoch": 0.5022583559168925,
1953
+ "grad_norm": 0.2197114014140093,
1954
+ "learning_rate": 1.621043960362826e-05,
1955
+ "loss": 0.5418,
1956
+ "step": 278
1957
+ },
1958
+ {
1959
+ "epoch": 0.5040650406504065,
1960
+ "grad_norm": 0.23257701295408562,
1961
+ "learning_rate": 1.6120951403796367e-05,
1962
+ "loss": 0.5568,
1963
+ "step": 279
1964
+ },
1965
+ {
1966
+ "epoch": 0.5058717253839206,
1967
+ "grad_norm": 0.24433486985285227,
1968
+ "learning_rate": 1.603142306495714e-05,
1969
+ "loss": 0.553,
1970
+ "step": 280
1971
+ },
1972
+ {
1973
+ "epoch": 0.5076784101174345,
1974
+ "grad_norm": 0.20527397519546922,
1975
+ "learning_rate": 1.5941857792939702e-05,
1976
+ "loss": 0.554,
1977
+ "step": 281
1978
+ },
1979
+ {
1980
+ "epoch": 0.5094850948509485,
1981
+ "grad_norm": 0.22929324716898536,
1982
+ "learning_rate": 1.585225879489567e-05,
1983
+ "loss": 0.5487,
1984
+ "step": 282
1985
+ },
1986
+ {
1987
+ "epoch": 0.5112917795844625,
1988
+ "grad_norm": 0.2238089603853136,
1989
+ "learning_rate": 1.5762629279184326e-05,
1990
+ "loss": 0.5634,
1991
+ "step": 283
1992
+ },
1993
+ {
1994
+ "epoch": 0.5130984643179766,
1995
+ "grad_norm": 0.22412925067398695,
1996
+ "learning_rate": 1.5672972455257726e-05,
1997
+ "loss": 0.5518,
1998
+ "step": 284
1999
+ },
2000
+ {
2001
+ "epoch": 0.5149051490514905,
2002
+ "grad_norm": 0.23076070566516943,
2003
+ "learning_rate": 1.5583291533545775e-05,
2004
+ "loss": 0.5463,
2005
+ "step": 285
2006
+ },
2007
+ {
2008
+ "epoch": 0.5167118337850045,
2009
+ "grad_norm": 0.23140896156408275,
2010
+ "learning_rate": 1.549358972534128e-05,
2011
+ "loss": 0.5437,
2012
+ "step": 286
2013
+ },
2014
+ {
2015
+ "epoch": 0.5185185185185185,
2016
+ "grad_norm": 0.22643479753851717,
2017
+ "learning_rate": 1.5403870242684942e-05,
2018
+ "loss": 0.5651,
2019
+ "step": 287
2020
+ },
2021
+ {
2022
+ "epoch": 0.5203252032520326,
2023
+ "grad_norm": 0.24172544315368483,
2024
+ "learning_rate": 1.5314136298250355e-05,
2025
+ "loss": 0.5625,
2026
+ "step": 288
2027
+ },
2028
+ {
2029
+ "epoch": 0.5221318879855466,
2030
+ "grad_norm": 0.21456673351384214,
2031
+ "learning_rate": 1.5224391105228956e-05,
2032
+ "loss": 0.547,
2033
+ "step": 289
2034
+ },
2035
+ {
2036
+ "epoch": 0.5239385727190605,
2037
+ "grad_norm": 0.20236395606188895,
2038
+ "learning_rate": 1.5134637877214968e-05,
2039
+ "loss": 0.5588,
2040
+ "step": 290
2041
+ },
2042
+ {
2043
+ "epoch": 0.5257452574525745,
2044
+ "grad_norm": 0.23554049753605505,
2045
+ "learning_rate": 1.5044879828090346e-05,
2046
+ "loss": 0.5631,
2047
+ "step": 291
2048
+ },
2049
+ {
2050
+ "epoch": 0.5275519421860885,
2051
+ "grad_norm": 0.22947805697224488,
2052
+ "learning_rate": 1.4955120171909658e-05,
2053
+ "loss": 0.5669,
2054
+ "step": 292
2055
+ },
2056
+ {
2057
+ "epoch": 0.5293586269196026,
2058
+ "grad_norm": 0.1986163494264529,
2059
+ "learning_rate": 1.4865362122785031e-05,
2060
+ "loss": 0.5595,
2061
+ "step": 293
2062
+ },
2063
+ {
2064
+ "epoch": 0.5311653116531165,
2065
+ "grad_norm": 0.22657031125938396,
2066
+ "learning_rate": 1.4775608894771048e-05,
2067
+ "loss": 0.5519,
2068
+ "step": 294
2069
+ },
2070
+ {
2071
+ "epoch": 0.5329719963866305,
2072
+ "grad_norm": 0.26178909293346697,
2073
+ "learning_rate": 1.4685863701749648e-05,
2074
+ "loss": 0.5497,
2075
+ "step": 295
2076
+ },
2077
+ {
2078
+ "epoch": 0.5347786811201445,
2079
+ "grad_norm": 0.24491042948023758,
2080
+ "learning_rate": 1.4596129757315062e-05,
2081
+ "loss": 0.5537,
2082
+ "step": 296
2083
+ },
2084
+ {
2085
+ "epoch": 0.5365853658536586,
2086
+ "grad_norm": 0.234622033552508,
2087
+ "learning_rate": 1.4506410274658718e-05,
2088
+ "loss": 0.5586,
2089
+ "step": 297
2090
+ },
2091
+ {
2092
+ "epoch": 0.5383920505871725,
2093
+ "grad_norm": 0.23622066572903277,
2094
+ "learning_rate": 1.441670846645423e-05,
2095
+ "loss": 0.5533,
2096
+ "step": 298
2097
+ },
2098
+ {
2099
+ "epoch": 0.5401987353206865,
2100
+ "grad_norm": 0.24071443512391985,
2101
+ "learning_rate": 1.4327027544742281e-05,
2102
+ "loss": 0.5685,
2103
+ "step": 299
2104
+ },
2105
+ {
2106
+ "epoch": 0.5420054200542005,
2107
+ "grad_norm": 0.22544308961774373,
2108
+ "learning_rate": 1.4237370720815675e-05,
2109
+ "loss": 0.5566,
2110
+ "step": 300
2111
+ }
2112
+ ],
2113
+ "logging_steps": 1,
2114
+ "max_steps": 553,
2115
+ "num_input_tokens_seen": 0,
2116
+ "num_train_epochs": 1,
2117
+ "save_steps": 100,
2118
+ "stateful_callbacks": {
2119
+ "TrainerControl": {
2120
+ "args": {
2121
+ "should_epoch_stop": false,
2122
+ "should_evaluate": false,
2123
+ "should_log": false,
2124
+ "should_save": true,
2125
+ "should_training_stop": false
2126
+ },
2127
+ "attributes": {}
2128
+ }
2129
+ },
2130
+ "total_flos": 347755278106624.0,
2131
+ "train_batch_size": 2,
2132
+ "trial_name": null,
2133
+ "trial_params": null
2134
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e17e9ef49452dfbb88bdb398539e0416fca0be014460bc3a0231be831d4c7664
3
+ size 8017
vocab.json ADDED
The diff for this file is too large to render. See raw diff